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An Application of Canny Edge Detection Algorithm to Rail Thermal Image Fault Detection

Journal of computer and Communications 2015年第11期3卷 19-24页

作者： Libo Cai Yu Ma Tangming Yuan Haifeng Wang Tianhua Xu Department of Computer Science University of York Heslington York UK National Engineering Research Center of Rail Transportation Operation and Control Systems Beijing Jiaotong University Beijing China Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University Beijing China

The paper discusses an application for rail track thermal image fault detection. In order to get better results from the Canny edge detection algorithm, the image needs to be processed in advance. The histogram equalization method is proposed to enhance the contrast of the image. Since a thermal image contains multiple parallel rail tracks, an algorithm has been developed to locate and separate the tracks that we are interested in. This is accomplished by applying the least squares linear fitting technique to represent the surface of a track. The performance of the application is evaluated by using a number of images provided by a specialised company and the results are essentially favourable.

关键词： Fault Detection Rail Thermal Image Canny Edge Detection Linear Least Squares

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Optimal Microgrid Energy Management Integrating Intermittent Renewable Energy and Stochastic Load

Optimal Microgrid Energy Management Integrating Intermittent...

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2015 IEEE Advanced Information Technology,Electronic and Automation control Conference(IAEAC 2015)

作者： Ying Ji Jianhui Wang Shijie Yan Wenzhong Gao Hepeng Li College of Information Science and Engineering Northeastern University Department of Electrical and Computer Engineering University of Denver Lab.of Networked Control Systems Shenyang Institute of AutomationChinese Academy of Sciences

ISBN: (纸本)9781479919819

In this paper,we focus on energy management of distributed generators(DGs) and energy storage system(ESS) in microgrids(MG) considering uncertainties in renewable energy and load *** MG energy management problem is formulated as a two-stage stochastic programming model based on optimization ***,the optimization model is decomposed into a mixed integer quadratic programming problem by using discrete stochastic scenarios to approximate the continuous random variables.A Scenarios generation approach based on time-homogeneous Markov chain model is proposed to generate simulated time-series of renewable energy generation and load ***,the proposed stochastic programming model is tested in a typical LV network and solved by Matlab optimization *** simulation results show that the proposed stochastic programming model has a better performance to obtain robust scheduling solutions and lower the operating cost compared to the deterministic optimization modeling methods.

关键词： microgrid EMS Markov chain stochastic optimization

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Active Disturbance Rejection control for Nonlinear Two-tank Liquid Level Cascade Systems with Model Uncertainties

Active Disturbance Rejection Control for Nonlinear Two-tank ...

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The Society of Instrument and control Engineers Annual Conference 2015

作者： Lijun Wang Fen Zhang Qing Li Yixin Yin Qing Zheng Yumeng Zhang School of Automation & Electrical Engineering University of Science and Technology Beijing Key Laboratory of Advanced Control of Iron and Steel Process (Ministry of Education) University of Science and Technology Beijing Department of Electrical and Computer Engineering Gannon University

Due to the nonlinearities, model uncertainties and disturbances of the two-tank liquid level cascade system,active disturbance rejection controller(ADRC) solution was developed. First, a nonlinear mechanism model and its linearized model were built based on the theories of fluid dynamics for the system. Second, first-order linear ADRCs for the outer loop of the two cascade systems with an unknown order were designed, respectively. With a simple integrator as the normalized type of the feedback system, other parts of dynamic system which are different from the normalized type are treated as the total disturbances. The disturbances were estimated by the second-order linear extended state observer and compensated in the control law. Then the system, with nonlinearities, uncertainties and disturbances, is reduced to only a linear integrator. In comparison with the traditional PI controller, simulation results show that both the proposed ADRCs have better robustness and adaptability against model uncertainties.

关键词： Two-tank systems,nonlinear systems,uncertain systems,cascade systems,active disturbance rejection control

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On a fault tolerant strategy for efficient energy management in microgrid systems

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IFAC-PapersOnLine 2015年第23期48卷 458-463页

作者： Ionela Prodan Florin Stoican Enrico Zio Laboratory of Conception and Integration of Systems (LCIS EA 3747) Univ. Grenoble Alpes France Department of Automatic Control and Systems Engineering UPB Bucharest Romania Chair on Systems Science and the Energetic Challenge European Foundation for New Energy - EDF CentraleSupélec France

This paper addresses the microgrid energy management problem within a coherent framework of control tools based on Mixed-Integer Linear Programming (MILP) and constrained Model Predictive control (MPC). These help characterize the microgrid components’ dynamics and the overall system control architecture. A fault tolerant strategy is considered in order to ensure the proper amount of energy in the storage devices such that (together with the utility grid) the essential consumer demand is reliably covered. Simulation results on a particular microgrid architecture validate the proposed approach.

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An Application of Canny Edge Detection Algorithm to Rail Thermal Image Fault Detection

An Application of Canny Edge Detection Algorithm to Rail The...

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2015 Workshop 11

作者： Libo Cai Yu Ma Tangming Yuan Haifeng Wang Tianhua Xu Department of Computer Science University of York National Engineering Research Center of Rail Transportation Operation and Control Systems Beijing Jiaotong University Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University

The paper discusses an application for rail track thermal image fault *** order to get better results from the Canny edge detection algorithm,the image needs to be processed in *** histogram equalization method is proposed to enhance the contrast of the *** a thermal image contains multiple parallel rail tracks,an algorithm has been developed to locate and separate the tracks that we are interested *** is accomplished by applying the least squares linear fitting technique to represent the surface of a *** performance of the application is evaluated by using a number of images provided by a specialised company and the results are essentially favourable.

关键词： Fault Detection Rail Thermal Image Canny Edge Detection Linear Least Squares

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Robust mean-variance optimization for self-scheduling of thermal producer and its price of robustness

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Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical engineering 2015年第2期35卷 319-326页

作者： Ding, Tao Bo, Rui Sun, Hongbin Huang, Can Li, Fangxing State Key Lab of Control and Simulation of Power Systems and Generation Equipment Department of Electrical Engineering Tsinghua University Haidian District Beijing100084 China Midwest ISO Street Paul MN55108 United States Department of Electrical Engineering and Computer Science University of Tennessee Knoxville TN37996 United States

In deregulated electricity markets, generation companies with the aim of maximum revenue need to provide trading strategies to the electricity trading market, which contributed to a self-scheduling model. When considering the uncertainty of price, the trading strategies are required to maximize the revenue as well as minimizing the risks brought by uncertainties. In this paper, a multi-objective robust mean-variance model was proposed to solve the above problem and the Pareto frontier of the multi-objective optimization was obtained. Moreover, the proposed robust mean-variance model could be equivalently transformed into a non-robust mean-variance model which was casted as a second-order cone programming (SOCP) optimization. The price of robustness to benefits, risks, and the Pareto frontier were analyzed. Finally, the robust mean-variance model based self-scheduling model optimization and its budget of robustness were tested on a 30-bus system. The simulation results demonstrate the effectiveness of the proposed method and analysis. © 2015 Chin. Soc. for Elec. Eng.

关键词： Second-order cone programming

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Formation maneuvering with collision avoidance and connectivity maintenance

Formation maneuvering with collision avoidance and connectiv...

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IEEE International Symposium on Intelligent control (ISIC)

作者： Zhimin Han Zhiyun Lin Zhiyong Chen Minyue Fu State Key laboratory of Industrial Control Technology Zhejiang University Hangzhou P.R. China School of Electrical Engineering and Computer Science University of Newcastle Callaghan NSW Australia Department of Control Science and Engineering Zhejiang University Hangzhou P.R. China

ISBN: (纸本)9781479977895

This paper proposes a switching control strategy for formation maneuvering control of multi-agent systems with guaranteed collision avoidance and connectivity maintenance properties. The control strategy consists of three parts: formation maneuvering, collision avoidance, and connectivity maintenance control. We adopt the idea of using complex Laplacian for formation maneuvering control, which gives rise to one degree of freedom in scaling the size of the achievable formations and thus enables collision avoidance and connectivity maintenance possible in the meantime. Simulation results are provided to demonstrate the effectiveness of the control strategy.

关键词： Sensors Collision avoidance Maintenance engineering Laplace equations Shape Switches

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Online parameter tuning methods for adaptive ecms control strategies in hybrid electric vehicles 35th

Online parameter tuning methods for adaptive ecms control st...

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35th FISITA World Automotive Congress, 2014

作者： Winkler, Melanie Geulen, Sascha Josevski, Martina Tegethoff, Michael Abel, Dirk Vöcking, Berthold Department of Computer Science RWTH Aachen University Germany Institute of Automatic Control RWTH Aachen University Germany

This paper presents two adaptive ECMS schemes which compared to the standard ECMS formulation are extended by an online learning algorithm based on the so-called regret minimization paradigm. While in the first approach the Shrinking Dartboard algorithm is applied to tune the parameter values of the ECMS adaptation rule, in the second approach the Weighted Fractional algorithm averages the results of numerous ECMS strategies in order to obtain an optimal power split. Thereby, an expert represents a particular parameter setting of an ECMS adaptation rule which is assigned to an ECMS strategy. The simulation results obtained when ECMS strategy is used in combination with the online learning procedures are compared to the results obtained when no method for parameter tuning is applied and when the parameters of the adaptation rule are set to constant values for the entire driving cycle. In both cases an adaptation law (P or PI) is employed in order to obtain the equivalence factor in the ECMS strategy in each time step. The proposed adaptive control schemes achieve good performance even if the driving conditions are not known a-priori. Simulation results indicate that when applying the ECMS approach together with regret minimization procedures reduced fuel consumption can be achieved compared to the case when constant parameters are used in adaptation laws of the ECMS strategy. © 2014, FISITA. All rights reserved.

关键词： Hybrid vehicles

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RETRACTED ARTICLE: Input Displacement Neuro-fuzzy control and Object Recognition by Compliant Multi-fingered Passively Adaptive Robotic Gripper

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Journal of Intelligent & Robotic Systems 2015年第2期82卷 177-187页

作者： Petković, Dalibor Shamshirband, Shahaboddin Anuar, Nor Badrul Sabri, Aznul Qalid Md Abdul Rahman, Zulkanain Bin Pavlović, Nenad D. Faculty of Mechanical Engineering Deparment for Mechatronics and Control University of Niš Niš Serbia Department of Computer System and Technology Faculty of Computer Science and Information Technology University of Malaya Kuala Lumpur Malaysia Department of History Faculty of Arts and Social Sciences Building University of Malaya Kuala Lumpur Malaysia

The requirement for new flexible adaptive grippers is the ability to detect and recognize objects in their environments. It is known that robotic manipulators are highly nonlinear systems, and an accurate mathematical model is difficult to obtain, thus making it difficult make decision strategies using conventional techniques. Here, an adaptive neuro fuzzy inference system (ANFIS) for controlling input displacement and object recognition of a new adaptive compliant gripper is presented. The grasping function of the proposed adaptive multi-fingered gripper relies on the physical contact of the finger with an object. This design of the each finger has embedded sensors as part of its structure. The use of embedded sensors in a robot gripper gives the control system the ability to control input displacement of the gripper and to recognize particular shapes of the grasping objects. Fuzzy based controllers develop a control signal according to grasping object shape which yields on the firing of the rule base. The selection of the proper rule base depending on the situation can be achieved by using an ANFIS strategy, which becomes an integrated method of approach for the control purposes. In the designed ANFIS scheme, neural network techniques are used to select a proper rule base, which is achieved using the back propagation algorithm. The simulation results presented in this paper show the effectiveness of the developed method.

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Look-ahead cruise control design in VISSIM simulation environment

Look-ahead cruise control design in VISSIM simulation enviro...

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International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS)

作者： András Mihály Balázs Németh Zsuzsanna Bede Péter Gáspár MTA-BME Control Engineering Research Group Budapest University of Technology and Economics Magyar Tudomanyos Akademia Budapest Budapest HU Department of Control for Transportation and Vehicle Systems Budapest University of Technology and Economics Institute for Computer Science and Control Hungarian Academy of Sciences and MTA-BME Control Engineering Research Group

The paper deals with the design of individual vehicle speed, taking into account the topographical characteristics of the road, the speed limit and the current traffic conditions. The look-ahead speed selection algorithm is implemented in microscopic traffic simulation environment V ISSIM u sing COM interface and MATLAB programming. The proposed look-ahead control is tested and analyzed on one of main transportation roads in Hungary namely between Tatabánya and Györ. The main novelty of the paper is the implementation of the look-ahead control in a realistic traffic environment, where the benefits of the method can be tested during different traffic conditions.

关键词： Vehicles Roads Acceleration Microscopy

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